Outlier Detection and Decision Tree for Wireless Sensor Network Fault Diagnosis

A wireless sensor network node fault diagnosis model based on belief rule base with power set

“…The first type of method is based on model analysis. It is defined as simulating the cognitive process of things, which includes expert system-based models, fuzzy logic-based models, decision tree-based models and hypothesis testing-based models [ 2 , 3 , 4 , 5 , 6 , 7 ]. Febriansyah, II.…”

“…et al. studied and implemented a combination of multiscale principal component analysis (MSPCA) and decision trees to detect fault data from WSN and classify faults [ 4 ]. The different factors of sensor nodes are analyzed, and a fault diagnosis method for heterogeneous WSN based on fuzzy logic is proposed by M. Masdari et al.…”